Luca Franceschi
- Bilevel Programming for Hyperparameter Optimization and Meta-Learning
2018/06/13 by Luca Franceschi, Paolo Frasconi, Franceschi, Luca +7 · 51 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Multimodal Machine Learning Applications
- Learning Discrete Structures for Graph Neural Networks
2019/03/28 by Luca Franceschi, Mathias Niepert, Franceschi, Luca +5 · 18 citations
Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and ELM
- On the Iteration Complexity of Hypergradient Computation
2020/06/29 by Riccardo Grazzi, Luca Franceschi, Grazzi, Riccardo +5 · 20 citations
Mathematics · Medicine · Physics and Astronomy · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Medical Imaging Techniques and Applications #Model Reduction and Neural Networks #Tensor decomposition and applications
- Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions
2021/06/03 by Mathias Niepert, Pasquale Minervini, Niepert, Mathias +3 · 12 citations
Computer Science · #Artificial Intelligence (cs.AI) #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning and Algorithms #Neural Networks and Applications
- A Bridge Between Hyperparameter Optimization and Learning-to-learn
2017/12/18 by Luca Franceschi, Michele Donini, Franceschi, Luca +5 · 1 citation
Computer Science · #Advanced Multi-Objective Optimization Algorithms #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
- CoRet: Improved Retriever for Code Editing
2025/05/30 by Fabio James Fehr, Fehr, Fabio, Prabhu Teja Sivaprasad +5 · 3 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques
- Adaptive Perturbation-Based Gradient Estimation for Discrete Latent Variable Models
2022/09/11 by Pasquale Minervini, Minervini, Pasquale, Luca Franceschi +3 · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning in Healthcare #Neural and Evolutionary Computing (cs.NE)
- ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective
2022/07/20 by Yihong Chen, Chen, Yihong, Pushkar Mishra +9 · 1 citation
Computer Science · Neuroscience · #Advanced Graph Neural Networks #Topic Modeling #Brain Tumor Detection and Classification
- Learning Discrete Directed Acyclic Graphs via Backpropagation
2022/10/27 by Andrew J. Wren, Pasquale Minervini, Wren, Andrew J. +5 · 1 citation
Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Complex Network Analysis Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Jet Expansions of Residual Computation
2024/10/08 by Yihong Chen, Xiangxiang Xu, Chen, Yihong +7 · 1 citation
Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Symbolic Computation (cs.SC)